The rapid advancement of artificial intelligence (AI) technologies has fundamentally transformed various sectors of society, with education being no exception.This paper examines interpreting education in the AI era, analyzing both the unprecedented opportunities and formidable challenges that educators and institutions face.Through a review of recent literature and theoretical analysis, this study explores how AI technologies are reshaping interpreter training methodologies, assessment practices, and professional competencies.The paper argues that while AI presents remarkable opportunities for enhanced learning experiences and personalized education, it simultaneously poses significant challenges related to pedagogical adaptation, ethical considerations, and the preservation of human-centric skills essential to professional interpreting.It suggests that successful integration of AI in interpreting education requires a balanced approach that leverages technological advantages while maintaining the irreplaceable value of human expertise and cultural sensitivity.
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YANG Jiaming (2025) studied this question.
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